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Fine-grained Sentiment Analysis with Faithful Attention

Fine-grained Sentiment Analysis with Faithful Attention

19 August 2019
Ruiqi Zhong
Steven Shao
Kathleen McKeown
ArXiv (abs)PDFHTML

Papers citing "Fine-grained Sentiment Analysis with Faithful Attention"

29 / 29 papers shown
Can human clinical rationales improve the performance and explainability of clinical text classification models?
Can human clinical rationales improve the performance and explainability of clinical text classification models?
Christoph Metzner
Shang Gao
Drahomira Herrmannova
Heidi A. Hanson
158
0
0
28 Jul 2025
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
Vlad Hondru
Eduard Hogea
Darian M. Onchis
Radu Tudor Ionescu
448
12
0
18 Mar 2025
Large Language Models as Attribution Regularizers for Efficient Model Training
Large Language Models as Attribution Regularizers for Efficient Model Training
Davor Vukadin
Marin Šilić
Goran Delač
676
0
0
27 Feb 2025
Main Predicate and Their Arguments as Explanation Signals For Intent Classification
Main Predicate and Their Arguments as Explanation Signals For Intent ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Sameer Pimparkhede
Pushpak Bhattacharyya
139
1
0
03 Feb 2025
Interpreting Sentiment Composition with Latent Semantic Tree
Interpreting Sentiment Composition with Latent Semantic TreeAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhongtao Jiang
Yuanzhe Zhang
Cao Liu
Jiansong Chen
Jun Zhao
Kang Liu
CoGe
334
0
0
31 Aug 2023
MDACE: MIMIC Documents Annotated with Code Evidence
MDACE: MIMIC Documents Annotated with Code EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Hua Cheng
Rana Jafari
April Russell
Russell Klopfer
Edmond Lu
Benjamin Striner
Matthew R. Gormley
193
24
0
07 Jul 2023
Quantifying Context Mixing in Transformers
Quantifying Context Mixing in TransformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Hosein Mohebbi
Willem H. Zuidema
Grzegorz Chrupała
Afra Alishahi
539
40
0
30 Jan 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided LearningACM Computing Surveys (ACM CSUR), 2022
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Bo Pan
372
65
0
07 Dec 2022
StyLEx: Explaining Style Using Human Lexical Annotations
StyLEx: Explaining Style Using Human Lexical AnnotationsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Shirley Anugrah Hayati
Kyumin Park
Dheeraj Rajagopal
Lyle Ungar
Luan Tuyen Chau
432
3
0
14 Oct 2022
VisFIS: Visual Feature Importance Supervision with
  Right-for-the-Right-Reason Objectives
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesNeural Information Processing Systems (NeurIPS), 2022
Zhuofan Ying
Peter Hase
Joey Tianyi Zhou
LRM
340
15
0
22 Jun 2022
ORCA: Interpreting Prompted Language Models via Locating Supporting Data
  Evidence in the Ocean of Pretraining Data
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data
Xiaochuang Han
Yulia Tsvetkov
310
34
0
25 May 2022
A survey on improving NLP models with human explanations
A survey on improving NLP models with human explanations
Mareike Hartmann
Daniel Sonntag
LRM
363
26
0
19 Apr 2022
Interpreting Language Models with Contrastive Explanations
Interpreting Language Models with Contrastive ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kayo Yin
Graham Neubig
MILM
266
106
0
21 Feb 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution ViewWIREs Mechanisms of Disease (WIREs Mech Dis), 2021
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
314
82
0
05 Dec 2021
Influence Tuning: Demoting Spurious Correlations via Instance
  Attribution and Instance-Driven Updates
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
Xiaochuang Han
Yulia Tsvetkov
TDI
307
35
0
07 Oct 2021
The Out-of-Distribution Problem in Explainability and Search Methods for
  Feature Importance Explanations
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance ExplanationsNeural Information Processing Systems (NeurIPS), 2021
Peter Hase
Harry Xie
Joey Tianyi Zhou
OODDLRMFAtt
434
108
0
01 Jun 2021
Do Context-Aware Translation Models Pay the Right Attention?
Do Context-Aware Translation Models Pay the Right Attention?Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Kayo Yin
Patrick Fernandes
Danish Pruthi
Aditi Chaudhary
André F. T. Martins
Graham Neubig
334
40
0
14 May 2021
Faithful and Plausible Explanations of Medical Code Predictions
Faithful and Plausible Explanations of Medical Code Predictions
Zach Wood-Doughty
Isabel Cachola
Mark Dredze
96
3
0
16 Apr 2021
Approximating How Single Head Attention Learns
Approximating How Single Head Attention Learns
Charles Burton Snell
Ruiqi Zhong
Dan Klein
Jacob Steinhardt
MLT
278
35
0
13 Mar 2021
Explain and Predict, and then Predict Again
Explain and Predict, and then Predict AgainWeb Search and Data Mining (WSDM), 2021
Zijian Zhang
Koustav Rudra
Avishek Anand
FAtt
333
59
0
11 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation
  and Debugging
FastIF: Scalable Influence Functions for Efficient Model Interpretation and DebuggingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Han Guo
Nazneen Rajani
Peter Hase
Joey Tianyi Zhou
Caiming Xiong
TDI
452
138
0
31 Dec 2020
Evaluating Explanations: How much do explanations from the teacher aid
  students?
Evaluating Explanations: How much do explanations from the teacher aid students?Transactions of the Association for Computational Linguistics (TACL), 2020
Danish Pruthi
Rachit Bansal
Bhuwan Dhingra
Livio Baldini Soares
Michael Collins
Zachary Chase Lipton
Graham Neubig
William W. Cohen
FAttXAI
392
121
0
01 Dec 2020
Weakly- and Semi-supervised Evidence Extraction
Weakly- and Semi-supervised Evidence Extraction
Danish Pruthi
Bhuwan Dhingra
Graham Neubig
Zachary Chase Lipton
246
25
0
03 Nov 2020
Explaining and Improving Model Behavior with k Nearest Neighbor
  Representations
Explaining and Improving Model Behavior with k Nearest Neighbor Representations
Nazneen Rajani
Ben Krause
Wengpeng Yin
Tong Niu
R. Socher
Caiming Xiong
FAtt
294
37
0
18 Oct 2020
Weakly Supervised Medication Regimen Extraction from Medical
  Conversations
Weakly Supervised Medication Regimen Extraction from Medical ConversationsClinical Natural Language Processing Workshop (ClinicalNLP), 2020
Dhruvesh Patel
Sandeep Konam
Sai P. Selvaraj
MedIm
153
11
0
11 Oct 2020
BERTology Meets Biology: Interpreting Attention in Protein Language
  Models
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig
Ali Madani
Lav Varshney
Caiming Xiong
R. Socher
Nazneen Rajani
473
350
0
26 Jun 2020
Learning to Faithfully Rationalize by Construction
Learning to Faithfully Rationalize by ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Sarthak Jain
Sarah Wiegreffe
Yuval Pinter
Byron C. Wallace
348
172
0
30 Apr 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ERASER: A Benchmark to Evaluate Rationalized NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Jay DeYoung
Sarthak Jain
Nazneen Rajani
Eric P. Lehman
Caiming Xiong
R. Socher
Byron C. Wallace
623
762
0
08 Nov 2019
Detecting and Reducing Bias in a High Stakes Domain
Detecting and Reducing Bias in a High Stakes DomainConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Ruiqi Zhong
Yanda Chen
D. Patton
C. Selous
Kathy McKeown
183
6
0
29 Aug 2019
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